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The Simon annihilator is an (n−1)-dimensional binary subspace
Statement
Let and let be nonzero in the coordinate vector space of The coordinate vector space over F2. Define
where the binary dot product is the parity defined in Binary dot product as parity. Then is a linear subspace of dimension and has exactly elements. The assertion includes , when has dimension zero.
Facts & Assumptions
Given: An integer and a nonzero binary string .
Simon hidden-XOR-period promise: the Simon mask is nonzero.
The coordinate vector space over F2: has coordinatewise vector addition and scalar multiplication over the field .
The quotient Z/2 is the binary field: these quotient operations make a field.
Vector space over a field and Linear subspace of a vector space: a linear subspace contains zero and is closed under vector addition and scalar multiplication over the field.
Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent: a finite list is independent when a zero linear combination forces every coefficient to be zero.
is exactly the set of linear combinations of finite lists of elements of , and : the span of a finite list is exactly the set of its finite linear combinations.
Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis and Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis: a basis is an independent spanning set, and the dimension of a finite-dimensional vector space is the size of a finite basis.
Proof
Choose the least coordinate with , which exists by [F1]. For each , let have coordinate at , coordinate at , and zero elsewhere. Then , so every belongs to . When , the index set is empty.
For any , the equation and give ; hence , checking each coordinate. Conversely, distributing [F4] over the finite sum gives , so the span equals and makes it a subspace by [F5] and [F7]. For any injective finite list from this set, the indices are distinct, and coordinate of is exactly . Thus a zero combination forces every coefficient to vanish; when the list is empty the condition is vacuous. The set is independent by [F6] and spans by [F7].
The independent spanning set from step 2.1 is a basis by [F8], and has exactly elements, so . Its coefficient map is bijective by the coordinate formula and independence, so because there are binary coefficient lists. For , the empty list gives only , and the same count is .
Depends on
- Simon hidden-XOR-period promise
- Binary residue carrier and operations
- The quotient Z/2 is the binary field
- Binary dot product as parity
- The coordinate vector space over F2
- Vector space over a field
- Linear subspace of a vector space
- Linear independence: a finite list $v : n \to V$ is independent when $\sum_{i<n} \lambda_i v_i = 0_V$ forces every $\lambda_i = 0_F$, and a subset $S \subseteq V$ is independent when every injective finite list into $S$ is independent
- Linear combination of a finite list, and the span $\operatorname{span}(S)$ as the smallest linear subspace containing $S$
- $\operatorname{span}(S)$ is exactly the set of linear combinations of finite lists of elements of $S$, and $\operatorname{span}(\varnothing) = \{0_V\}$
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
Used by
- Simon independent-sample rank process Definition
- Simon rank growth probability Theorem
- Simon samples uniformly from s-perp Theorem
Dependency tree · two levels
43 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Ronald de Wolf, Quantum Computing: Lecture Notes (arXiv:1907.09415v6, 2026) (standard reference, not scraped)
- John Preskill, Quantum Information, Chapter 6: Quantum Algorithms (updated November 2020) (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (17 April 2025) (standard reference, not scraped)